The CFO's first 100 days: A 10-step playbook to help sponsors partner with new portfolio company CFOs

The first 50 days: Triage urgent issues

Step 1: Get your CFOs exit-ready (from Day 1, not Month 18)

According to a recent Accordion survey, 97% of sponsors expect their CFOs to operate as though an exit could start tomorrow, yet only 20% of CFOs actually do. And while 81% of sponsors want preparation to begin 12–24 months out, most CFOs wait until a compressed 3–6 month sprint.

The result: rushed diligence, weaker storytelling, and lower perceived multiples.

Exit readiness can no longer be the final mile; it has to be the starting posture. Focusing on exit may feel like starting at the end, but it’s actually the baseline against which every other initiative will be judged. High-performing CFOs are 3x more likely to begin preparation 18+ months in advance, which is exactly why they outperform.

From Day 1, that means pressure-testing the variables that ultimately determine valuation and buyer confidence: tech stack and data reliability, system integration, QofE and accounting rigor, KPIs and reporting visibility, forecasting integrity, management and narrative readiness, VDR packaging and diligence infrastructure, and now AI-enabled capabilities.

Because buyers increasingly treat AI as a proxy for operational sophistication, and 85% of buyers explicitly factor AI-enabled finance capabilities into valuation, exit readiness without AI readiness is no longer incomplete – it’s discounted.

What your CFOs need from you:

• A timeline: Even an estimated exit horizon shifts how aggressively they prioritize transformation.
• A partner: Expansive sell-side readiness can’t be DIY; without resourcing, CFOs default to checklist compliance instead of value creation.

Step 2: Ensure cash flow can actually flow

If the past few years proved anything, it’s that uncertainty isn’t episodic, it’s structural. Supply chain shocks, rate volatility, geopolitical turbulence, elongated sales cycles: all of it has elevated liquidity from a finance hygiene item to a value protection lever.

And sponsors are seeing the same story across all your portfolios: cash is the first constraint when markets tighten and the first accelerant when a buyer appears. In our survey, CFOs cited liquidity planning among the top three blockers preventing exit-level discipline, largely due to underdeveloped forecasting and fragmented data.

That means your new CFOs must get a fast read on cash durability (not as a backward-looking metric, but as a forward-looking risk barometer).

From Day 1, they should be pressure-testing: 13-week cash flow mechanics (accuracy + cadence), receivables quality and velocity, upcoming vendor / debt cliffs and one-off payments, working capital choke points, and covenant exposure.

And today there is leverage available: AI-powered forecasting can ride on top of existing ERP/AP/AR data, delivering faster, more predictive liquidity intelligence with significantly less manual lift.

What your CFOs need from you:

• Expectation guidance: Cash is intentionally lean in PE-backed environments. They need clarity on how much cushion you expect in this macro climate.
• Direction: Tell them explicitly to surface “deathblows” early, (looming covenant breaches, liquidity squeezes, delayed customer receipts), before they become a board surprise.
• Benchmarking: Liquidity expectations vary by sector, risk profile, and maturity. CFOs need portfolio or peer benchmarks to know whether they are tight, safe, or buyer-ready.

Step 3: Audit the value creation plan

Your portfolio company’s Value Creation Plan (VCP) should be more than a deck on a shelf. It’s the blueprint for how your investment thesis translates into real performance. Yet too often, it’s drafted once and forgotten, rarely revisited as market dynamics shift, deal activity unfolds, or assumptions from diligence prove off.

Your CFOs need to dust off that plan immediately. From Day 1, they should be auditing the VCP to answer: Which levers have actually been pulled? How well did they perform against targets? Where are untapped opportunities or unrealized synergies hiding?

In today’s AI-enabled environment, this goes beyond manual review. CFOs should leverage automation, predictive analytics, and AI-driven insights to measure outcomes, uncover efficiency gains, and spot opportunities that the original plan missed.

Auditing the VCP early isn’t a formality, it’s a strategic lever. CFOs who start here can translate a static plan into a dynamic, performance-driving roadmap that earns alignment, credibility, and measurable impact.

 What your CFOs need from you:

• Codification: A single, updated record of the VCP so nothing is lost in translation during board updates or management conversations.
• Alignment session: Dedicated time to review what’s changed, why assumptions shifted, and how priorities should adjust.
• Prioritization guidance: Your clarity on which levers matter most: what to tackle first for quick wins versus long-term initiatives that drive ultimate value. 

Step 4: Respond to reporting holes

Even after your CFOs have audited the VCP, the insights won’t matter if they don’t flow into the company’s reporting. Too often, finance teams continue to measure outdated or misaligned KPIs simply because “that’s what we’ve always tracked.” Your CFOs must audit reporting with the same rigor as the VCP itself, ensuring that the right data translates into actionable insights for you and management, and identifying opportunities to leverage AI tools to automate collection, flag anomalies, and surface real-time intelligence aligned with value creation priorities.

What your CFOs need from you:

• Feedback: Point out what’s useful, what’s extraneous, and what’s missing. Make clear why certain data is critical going forward.
• Request review: Examine past ad-hoc data requests. Should any become part of regular reporting? Why or why not?
• Cadence: Define when reports should arrive. Establish a rhythm that delivers timely insight without overwhelming your CFOs.

Step 5: Plan now for M&A later

CFOs who build strong M&A integration capabilities create outsized value, yet add-on acquisitions often leave synergies unrealized if integration is rushed. Our exit readiness survey shows 72% of sponsors say CFOs fall short on exit readiness, citing weak data, limited experience, and insufficient scenario planning: all barriers that can prevent CFOs from capturing synergies in acquisitions. With excess dry powder and likely deal flow ahead, your CFOs’ first 100 days are the perfect window to lay the groundwork for future M&A success, ensuring they build processes, AI-enabled playbooks, and operational muscle before integration demands hit.

 What your CFOs need from you:

• Insight into strategy: CFOs should be among the first to understand acquisition plans, not the last. Discuss broader strategy, near-term targets, and integration priorities so they can start planning from Day 1, positioning the team to execute M&A efficiently and capture synergies.
• An AI mandate: Direct them to create an AI-enabled integration playbook. This could include pre-acquisition data and AI readiness diligence, standing up an AI-assisted Integration Management Office, or using predictive modeling to stress-test post-merger plans and Transition Services Agreement exits. Survey data shows CFOs who embed AI are 2x more likely to achieve smoother integrations and higher perceived valuations.
• Support: Introduce CFOs to your trusted M&A partners early. Even with a playbook, CFOs, (especially those new to the portfolio) will need guidance throughout integration to ensure synergies aren’t lost.

The second 50 days: Tackle the foundational pillars 

Step 6: Build the data and AI engine

We used to call this step simply “building the data foundation.” Today, that foundation must also power intelligence. Your CFOs need constant visibility into granular metrics to understand performance drivers and spot underperformance early. Yet in many portfolio companies, data remains trapped in outdated, disconnected systems (like Excel), limiting its ability to drive actionable insight.

CFOs should leverage CPM, BI, and data warehouse tools to establish a single source of truth, consolidating enterprise-wide data for analysis. But this is only the first step: they must transform data into insight, and foresight, using AI-enabled analytics. Predictive models can automate variance analysis, flag anomalies, and anticipate performance shifts before they appear in the P&L. Machine learning can synthesize operational and financial inputs across systems to uncover patterns, helping teams mitigate risk and capture opportunities earlier.

 What your CFOs need from you:

• Hiring guidance: Support CFOs in hiring professionals who can bridge finance and technology, guiding planned data and system enhancements.
• Outside experts: Introduce them to partners who understand both portfolio company data environments and practical AI applications in finance. Our survey highlights that CFOs who embed AI are 2x more likely to deliver smooth exits and higher perceived valuations, reinforcing the strategic importance of AI from Day 1.

Step 7: Design the AI-enabled technology stack

The data engine built in Step 6 will only deliver impact if paired with a fully AI-enabled technology stack. CFOs must evaluate and invest in systems that consolidate data and enable AI-driven revenue forecasting, scenario modeling, predictive analytics, anomaly detection, and intelligent automation.

Before AI can optimize decision-making, CFOs must ensure the data house is in order: clean, integrated, and structured across finance, operations, and other critical systems. Without reliable, accessible data, even the most sophisticated AI tools cannot produce actionable insights. Once this foundation is established, AI can transform raw information into foresight, helping CFOs anticipate risks, model multiple scenarios, optimize revenue, and identify opportunities to improve working capital and operational performance.

 Questions to guide the system audit:

• Does the ERP, CRM, and operational system provide reliable, real-time data for AI models?
• Can AI-assisted tools automate monthly close, variance analysis, and reporting?
• Do predictive models enable revenue forecasting, working capital planning, and scenario analysis to simulate multiple outcomes before key decisions?
• Does the technology integrate across finance, operations, and supply chain to create a seamless AI-driven decision-making ecosystem?

The goal: a technology ecosystem where AI delivers predictive insight, scenario planning, and real-time foresight, reduces manual work, surfaces patterns faster, and allows management to make smarter, data-driven decisions.

What your CFOs need from you:

• Exit projections: Align AI technology investments with the company’s exit horizon. Near-exit companies may require bolt-on AI solutions to accelerate last-mile readiness; longer-hold companies can plan full-stack AI-enabled enhancements.
• Industry-specific guidance: Certain sectors require must-have AI system capabilities (e.g., predictive Revenue Cycle Management for healthcare, AI-enabled supply chain modeling for manufacturing). Even if exit is near, advise on AI investments that generate “first mile” value creation opportunities for the next buyer.
• Technology prioritization: Clarify which systems or business areas should receive AI enhancements first, consistent with portfolio strategy and timing for value creation.

Step 8: Establish integrated, AI-enabled business planning (IBP)

Forecasting and planning are no longer just periodic exercises; they must be continuous, predictive, and AI-driven. Your CFOs should evolve traditional IBP into a system that integrates finance, operations, supply chain, and sales, leveraging AI to anticipate shifts, simulate scenarios, and guide strategic decisions.

AI-enabled IBP allows CFOs to:

• Forecast dynamically: Generate rolling revenue, expense, and working capital forecasts that adjust automatically as new data flows in.
• Run scenario modeling: Stress-test assumptions, evaluate “what-if” outcomes, and model multiple strategic pathways before decisions are executed.
• Detect anomalies in real time: Identify early signals of underperformance or risk across the business.
• Optimize resource allocation: Use AI to highlight where capital, staffing, or operational investment will deliver the highest return.
• Enable cross-functional planning: Link financial plans to production, demand, and operational schedules so the business moves cohesively toward targets.

Before CFOs can fully leverage AI in IBP, the data foundation and technology stack from Steps 6 and 7 must be robust: clean, integrated, and capable of feeding predictive models with high-quality information. Only then can AI transform planning from static snapshots into forward-looking, decision-driving intelligence.

What your CFOs need from you:

• Portfolio best practices: Share examples of companies in the portfolio already using AI to forecast, plan, and optimize resources. Create opportunities for new CFOs to learn from peers.
• Support breaking budgeting inertia: Encourage CFOs to challenge assumptions, hold business leaders accountable, and use AI insights to push planning beyond historical trends.
• Cross-functional alignment: Ensure CFOs have access to operational, sales, and supply chain leaders so AI-driven IBP reflects real-time business dynamics.